- Tytuł:
- Handwrittenword recognition using fuzzy matching degrees
- Autorzy:
-
Wróbel, Michał
Starczewski, Janusz T.
Fijałkowska, Justyna
Siwocha, Agnieszka
Napoli, Christian - Powiązania:
- https://bibliotekanauki.pl/articles/2031113.pdf
- Data publikacji:
- 2021
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
offline handwriting recognition
handwritten strokes
fuzzy matching degrees
interval type-2 fuzzy sets
decision trees
bigram frequency - Opis:
- Handwritten text recognition systems interpret the scanned script images as text composed of letters. In this paper, efficient offline methods using fuzzy degrees, as well as interval fuzzy degrees of type-2, are proposed to recognize letters beforehand decomposed into strokes. For such strokes, the first stage methods are used to create a set of hypotheses as to whether a group of strokes matches letter or digit patterns. Subsequently, the second-stage methods are employed to select the most promising set of hypotheses with the use of fuzzy degrees. In a primary version of the second-stage system, standard fuzzy memberships are used to measure compatibility between strokes and character patterns. As an extension of the system thus created, interval type-2 fuzzy degrees are employed to perform a selection of hypotheses that fit multiple handwriting typefaces.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 3; 229-242
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł